Deep Learning Chipset Industry Research Report 2024
This report aims to provide a comprehensive presentation of the global market for Deep Learning Chipset, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Deep Learning Chipset.
The Deep Learning Chipset market size, estimations, and forecasts are provided in terms of output/shipments (K Units) and revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Deep Learning Chipset market comprehensively. Regional market sizes, concerning products by types, by application, and by players, are also provided. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Deep Learning Chipset manufacturers, new entrants, and industry chain related companies in this market with information on the revenues, production, and average price for the overall market and the sub-segments across the different segments, by company, product type, application, and regions.
Key Companies & Market Share Insights
In this section, the readers will gain an understanding of the key players competing. This report has studied the key growth strategies, such as innovative trends and developments, intensification of product portfolio, mergers and acquisitions, collaborations, new product innovation, and geographical expansion, undertaken by these participants to maintain their presence. Apart from business strategies, the study includes current developments and key financials. The readers will also get access to the data related to global revenue, price, and sales by manufacturers for the period 2019-2024. This all-inclusive report will certainly serve the clients to stay updated and make effective decisions in their businesses. Some of the prominent players reviewed in the research report include:
Global markets are presented by Deep Learning Chipset type, along with growth forecasts through 2030. Estimates on production and value are based on the price in the supply chain at which the Deep Learning Chipset are procured by the manufacturers.
This report has studied every segment and provided the market size using historical data. They have also talked about the growth opportunities that the segment may pose in the future. This study bestows production and revenue data by type, and during the historical period (2019-2024) and forecast period (2025-2030).
Deep Learning Chipset segment by Type
This report has provided the market size (production and revenue data) by application, during the historical period (2019-2024) and forecast period (2025-2030).
This report also outlines the market trends of each segment and consumer behaviors impacting the Deep Learning Chipset market and what implications these may have on the industry's future. This report can help to understand the relevant market and consumer trends that are driving the Deep Learning Chipset market.
Deep Learning Chipset segment by Application
This section of the report provides key insights regarding various regions and the key players operating in each region. Economic, social, environmental, technological, and political factors have been taken into consideration while assessing the growth of the particular region/country. The readers will also get their hands on the revenue and sales data of each region and country for the period 2019-2030.
The market has been segmented into various major geographies, including North America, Europe, Asia-Pacific, South America. Detailed analysis of major countries such as the USA, Germany, the U.K., Italy, France, China, Japan, South Korea, Southeast Asia, and India will be covered within the regional segment. For market estimates, data are going to be provided for 2023 because of the base year, with estimates for 2024 and forecast value for 2030.
High-impact rendering factors and drivers have been studied in this report to aid the readers to understand the general development. Moreover, the report includes restraints and challenges that may act as stumbling blocks on the way of the players. This will assist the users to be attentive and make informed decisions related to business. Specialists have also laid their focus on the upcoming business prospects.
COVID-19 and Russia-Ukraine War Influence Analysis
The readers in the section will understand how the Deep Learning Chipset market scenario changed across the globe during the pandemic, post-pandemic and Russia-Ukraine War. The study is done keeping in view the changes in aspects such as demand, consumption, transportation, consumer behavior, supply chain management, export and import, and production. The industry experts have also highlighted the key factors that will help create opportunities for players and stabilize the overall industry in the years to come.
Reasons to Buy This Report
This report will help the readers to understand the competition within the industries and strategies for the competitive environment to enhance the potential profit. The report also focuses on the competitive landscape of the global Deep Learning Chipset market, and introduces in detail the market share, industry ranking, competitor ecosystem, market performance, new product development, operation situation, expansion, and acquisition. etc. of the main players, which helps the readers to identify the main competitors and deeply understand the competition pattern of the market.
This report will help stakeholders to understand the global industry status and trends of Deep Learning Chipset and provides them with information on key market drivers, restraints, challenges, and opportunities.
This report will help stakeholders to understand competitors better and gain more insights to strengthen their position in their businesses. The competitive landscape section includes the market share and rank (in volume and value), competitor ecosystem, new product development, expansion, and acquisition.
This report stays updated with novel technology integration, features, and the latest developments in the market
This report helps stakeholders to understand the COVID-19 and Russia-Ukraine War Influence on the Deep Learning Chipset industry.
This report helps stakeholders to gain insights into which regions to target globally
This report helps stakeholders to gain insights into the end-user perception concerning the adoption of Deep Learning Chipset.
This report helps stakeholders to identify some of the key players in the market and understand their valuable contribution.
Core Chapters
Chapter 1: Research objectives, research methods, data sources, data cross-validation;
Chapter 2: Introduces the report scope of the report, executive summary of different market segments (by region, product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 3: Detailed analysis of Deep Learning Chipset manufacturers competitive landscape, price, production and value market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product production/output, value, price, gross margin, product introduction, recent development, etc.
Chapter 5: Production/output, value of Deep Learning Chipset by region/country. It provides a quantitative analysis of the market size and development potential of each region in the next six years.
Chapter 6: Consumption of Deep Learning Chipset in regional level and country level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and production of each country in the world.
Chapter 7: Provides the analysis of various market segments by type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 8: Provides the analysis of various market segments by application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 9: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 10: Introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 11: The main points and conclusions of the report.
The Deep Learning Chipset market size, estimations, and forecasts are provided in terms of output/shipments (K Units) and revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Deep Learning Chipset market comprehensively. Regional market sizes, concerning products by types, by application, and by players, are also provided. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Deep Learning Chipset manufacturers, new entrants, and industry chain related companies in this market with information on the revenues, production, and average price for the overall market and the sub-segments across the different segments, by company, product type, application, and regions.
Key Companies & Market Share Insights
In this section, the readers will gain an understanding of the key players competing. This report has studied the key growth strategies, such as innovative trends and developments, intensification of product portfolio, mergers and acquisitions, collaborations, new product innovation, and geographical expansion, undertaken by these participants to maintain their presence. Apart from business strategies, the study includes current developments and key financials. The readers will also get access to the data related to global revenue, price, and sales by manufacturers for the period 2019-2024. This all-inclusive report will certainly serve the clients to stay updated and make effective decisions in their businesses. Some of the prominent players reviewed in the research report include:
- NVIDIA
- Intel
- IBM
- Qualcomm
- CEVA
- KnuEdge
- AMD
- Xilinx
- ARM
- Graphcore
- TeraDeep
- Wave Computing
- BrainChip
Global markets are presented by Deep Learning Chipset type, along with growth forecasts through 2030. Estimates on production and value are based on the price in the supply chain at which the Deep Learning Chipset are procured by the manufacturers.
This report has studied every segment and provided the market size using historical data. They have also talked about the growth opportunities that the segment may pose in the future. This study bestows production and revenue data by type, and during the historical period (2019-2024) and forecast period (2025-2030).
Deep Learning Chipset segment by Type
- Graphics Processing Units (GPUs)
- Central Processing Units (CPUs)
- Application Specific Integrated Circuits (ASICs)
- Field Programmable Gate Arrays (FPGAs)
- Others
This report has provided the market size (production and revenue data) by application, during the historical period (2019-2024) and forecast period (2025-2030).
This report also outlines the market trends of each segment and consumer behaviors impacting the Deep Learning Chipset market and what implications these may have on the industry's future. This report can help to understand the relevant market and consumer trends that are driving the Deep Learning Chipset market.
Deep Learning Chipset segment by Application
- Consumer
- Aerospace, Military & Defense
- Automotive
- Industrial
- Medical
- Others
This section of the report provides key insights regarding various regions and the key players operating in each region. Economic, social, environmental, technological, and political factors have been taken into consideration while assessing the growth of the particular region/country. The readers will also get their hands on the revenue and sales data of each region and country for the period 2019-2030.
The market has been segmented into various major geographies, including North America, Europe, Asia-Pacific, South America. Detailed analysis of major countries such as the USA, Germany, the U.K., Italy, France, China, Japan, South Korea, Southeast Asia, and India will be covered within the regional segment. For market estimates, data are going to be provided for 2023 because of the base year, with estimates for 2024 and forecast value for 2030.
- North America
- U.S.
- Canada
- Europe
- Germany
- France
- U.K.
- Italy
- Russia
- Asia-Pacific
- China
- Japan
- South Korea
- India
- Australia
- China Taiwan
- Indonesia
- Thailand
- Malaysia
- Latin America
- Mexico
- Brazil
- Argentina
High-impact rendering factors and drivers have been studied in this report to aid the readers to understand the general development. Moreover, the report includes restraints and challenges that may act as stumbling blocks on the way of the players. This will assist the users to be attentive and make informed decisions related to business. Specialists have also laid their focus on the upcoming business prospects.
COVID-19 and Russia-Ukraine War Influence Analysis
The readers in the section will understand how the Deep Learning Chipset market scenario changed across the globe during the pandemic, post-pandemic and Russia-Ukraine War. The study is done keeping in view the changes in aspects such as demand, consumption, transportation, consumer behavior, supply chain management, export and import, and production. The industry experts have also highlighted the key factors that will help create opportunities for players and stabilize the overall industry in the years to come.
Reasons to Buy This Report
This report will help the readers to understand the competition within the industries and strategies for the competitive environment to enhance the potential profit. The report also focuses on the competitive landscape of the global Deep Learning Chipset market, and introduces in detail the market share, industry ranking, competitor ecosystem, market performance, new product development, operation situation, expansion, and acquisition. etc. of the main players, which helps the readers to identify the main competitors and deeply understand the competition pattern of the market.
This report will help stakeholders to understand the global industry status and trends of Deep Learning Chipset and provides them with information on key market drivers, restraints, challenges, and opportunities.
This report will help stakeholders to understand competitors better and gain more insights to strengthen their position in their businesses. The competitive landscape section includes the market share and rank (in volume and value), competitor ecosystem, new product development, expansion, and acquisition.
This report stays updated with novel technology integration, features, and the latest developments in the market
This report helps stakeholders to understand the COVID-19 and Russia-Ukraine War Influence on the Deep Learning Chipset industry.
This report helps stakeholders to gain insights into which regions to target globally
This report helps stakeholders to gain insights into the end-user perception concerning the adoption of Deep Learning Chipset.
This report helps stakeholders to identify some of the key players in the market and understand their valuable contribution.
Core Chapters
Chapter 1: Research objectives, research methods, data sources, data cross-validation;
Chapter 2: Introduces the report scope of the report, executive summary of different market segments (by region, product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 3: Detailed analysis of Deep Learning Chipset manufacturers competitive landscape, price, production and value market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product production/output, value, price, gross margin, product introduction, recent development, etc.
Chapter 5: Production/output, value of Deep Learning Chipset by region/country. It provides a quantitative analysis of the market size and development potential of each region in the next six years.
Chapter 6: Consumption of Deep Learning Chipset in regional level and country level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and production of each country in the world.
Chapter 7: Provides the analysis of various market segments by type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 8: Provides the analysis of various market segments by application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 9: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 10: Introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 11: The main points and conclusions of the report.
1 PREFACE
1.1 Scope of Report
1.2 Reasons for Doing This Study
1.3 Research Methodology
1.4 Research Process
1.5 Data Source
1.5.1 Secondary Sources
1.5.2 Primary Sources
2 MARKET OVERVIEW
2.1 Product Definition
2.2 Deep Learning Chipset by Type
2.2.1 Market Value Comparison by Type (2019 VS 2023 VS 2030) & (US$ Million)
1.2.2 Graphics Processing Units (GPUs)
1.2.3 Central Processing Units (CPUs)
1.2.4 Application Specific Integrated Circuits (ASICs)
1.2.5 Field Programmable Gate Arrays (FPGAs)
1.2.6 Others
2.3 Deep Learning Chipset by Application
2.3.1 Market Value Comparison by Application (2019 VS 2023 VS 2030) & (US$ Million)
2.3.2 Consumer
2.3.3 Aerospace, Military & Defense
2.3.4 Automotive
2.3.5 Industrial
2.3.6 Medical
2.3.7 Others
2.4 Global Market Growth Prospects
2.4.1 Global Deep Learning Chipset Production Value Estimates and Forecasts (2019-2030)
2.4.2 Global Deep Learning Chipset Production Capacity Estimates and Forecasts (2019-2030)
2.4.3 Global Deep Learning Chipset Production Estimates and Forecasts (2019-2030)
2.4.4 Global Deep Learning Chipset Market Average Price (2019-2030)
3 MARKET COMPETITIVE LANDSCAPE BY MANUFACTURERS
3.1 Global Deep Learning Chipset Production by Manufacturers (2019-2024)
3.2 Global Deep Learning Chipset Production Value by Manufacturers (2019-2024)
3.3 Global Deep Learning Chipset Average Price by Manufacturers (2019-2024)
3.4 Global Deep Learning Chipset Industry Manufacturers Ranking, 2022 VS 2023 VS 2024
3.5 Global Deep Learning Chipset Key Manufacturers, Manufacturing Sites & Headquarters
3.6 Global Deep Learning Chipset Manufacturers, Product Type & Application
3.7 Global Deep Learning Chipset Manufacturers, Date of Enter into This Industry
3.8 Global Deep Learning Chipset Market CR5 and HHI
3.9 Global Manufacturers Mergers & Acquisition
4 MANUFACTURERS PROFILED
4.1 NVIDIA
4.1.1 NVIDIA Deep Learning Chipset Company Information
4.1.2 NVIDIA Deep Learning Chipset Business Overview
4.1.3 NVIDIA Deep Learning Chipset Production, Value and Gross Margin (2019-2024)
4.1.4 NVIDIA Product Portfolio
4.1.5 NVIDIA Recent Developments
4.2 Intel
4.2.1 Intel Deep Learning Chipset Company Information
4.2.2 Intel Deep Learning Chipset Business Overview
4.2.3 Intel Deep Learning Chipset Production, Value and Gross Margin (2019-2024)
4.2.4 Intel Product Portfolio
4.2.5 Intel Recent Developments
4.3 IBM
4.3.1 IBM Deep Learning Chipset Company Information
4.3.2 IBM Deep Learning Chipset Business Overview
4.3.3 IBM Deep Learning Chipset Production, Value and Gross Margin (2019-2024)
4.3.4 IBM Product Portfolio
4.3.5 IBM Recent Developments
4.4 Qualcomm
4.4.1 Qualcomm Deep Learning Chipset Company Information
4.4.2 Qualcomm Deep Learning Chipset Business Overview
4.4.3 Qualcomm Deep Learning Chipset Production, Value and Gross Margin (2019-2024)
4.4.4 Qualcomm Product Portfolio
4.4.5 Qualcomm Recent Developments
4.5 CEVA
4.5.1 CEVA Deep Learning Chipset Company Information
4.5.2 CEVA Deep Learning Chipset Business Overview
4.5.3 CEVA Deep Learning Chipset Production, Value and Gross Margin (2019-2024)
4.5.4 CEVA Product Portfolio
4.5.5 CEVA Recent Developments
4.6 KnuEdge
4.6.1 KnuEdge Deep Learning Chipset Company Information
4.6.2 KnuEdge Deep Learning Chipset Business Overview
4.6.3 KnuEdge Deep Learning Chipset Production, Value and Gross Margin (2019-2024)
4.6.4 KnuEdge Product Portfolio
4.6.5 KnuEdge Recent Developments
4.7 AMD
4.7.1 AMD Deep Learning Chipset Company Information
4.7.2 AMD Deep Learning Chipset Business Overview
4.7.3 AMD Deep Learning Chipset Production, Value and Gross Margin (2019-2024)
4.7.4 AMD Product Portfolio
4.7.5 AMD Recent Developments
4.8 Xilinx
4.8.1 Xilinx Deep Learning Chipset Company Information
4.8.2 Xilinx Deep Learning Chipset Business Overview
4.8.3 Xilinx Deep Learning Chipset Production, Value and Gross Margin (2019-2024)
4.8.4 Xilinx Product Portfolio
4.8.5 Xilinx Recent Developments
4.9 ARM
4.9.1 ARM Deep Learning Chipset Company Information
4.9.2 ARM Deep Learning Chipset Business Overview
4.9.3 ARM Deep Learning Chipset Production, Value and Gross Margin (2019-2024)
4.9.4 ARM Product Portfolio
4.9.5 ARM Recent Developments
4.10 Google
4.10.1 Google Deep Learning Chipset Company Information
4.10.2 Google Deep Learning Chipset Business Overview
4.10.3 Google Deep Learning Chipset Production, Value and Gross Margin (2019-2024)
4.10.4 Google Product Portfolio
4.10.5 Google Recent Developments
7.11 Graphcore
7.11.1 Graphcore Deep Learning Chipset Company Information
7.11.2 Graphcore Deep Learning Chipset Business Overview
4.11.3 Graphcore Deep Learning Chipset Production, Value and Gross Margin (2019-2024)
7.11.4 Graphcore Product Portfolio
7.11.5 Graphcore Recent Developments
7.12 TeraDeep
7.12.1 TeraDeep Deep Learning Chipset Company Information
7.12.2 TeraDeep Deep Learning Chipset Business Overview
7.12.3 TeraDeep Deep Learning Chipset Production, Value and Gross Margin (2019-2024)
7.12.4 TeraDeep Product Portfolio
7.12.5 TeraDeep Recent Developments
7.13 Wave Computing
7.13.1 Wave Computing Deep Learning Chipset Company Information
7.13.2 Wave Computing Deep Learning Chipset Business Overview
7.13.3 Wave Computing Deep Learning Chipset Production, Value and Gross Margin (2019-2024)
7.13.4 Wave Computing Product Portfolio
7.13.5 Wave Computing Recent Developments
7.14 BrainChip
7.14.1 BrainChip Deep Learning Chipset Company Information
7.14.2 BrainChip Deep Learning Chipset Business Overview
7.14.3 BrainChip Deep Learning Chipset Production, Value and Gross Margin (2019-2024)
7.14.4 BrainChip Product Portfolio
7.14.5 BrainChip Recent Developments
5 GLOBAL DEEP LEARNING CHIPSET PRODUCTION BY REGION
5.1 Global Deep Learning Chipset Production Estimates and Forecasts by Region: 2019 VS 2023 VS 2030
5.2 Global Deep Learning Chipset Production by Region: 2019-2030
5.2.1 Global Deep Learning Chipset Production by Region: 2019-2024
5.2.2 Global Deep Learning Chipset Production Forecast by Region (2025-2030)
5.3 Global Deep Learning Chipset Production Value Estimates and Forecasts by Region: 2019 VS 2023 VS 2030
5.4 Global Deep Learning Chipset Production Value by Region: 2019-2030
5.4.1 Global Deep Learning Chipset Production Value by Region: 2019-2024
5.4.2 Global Deep Learning Chipset Production Value Forecast by Region (2025-2030)
5.5 Global Deep Learning Chipset Market Price Analysis by Region (2019-2024)
5.6 Global Deep Learning Chipset Production and Value, YOY Growth
5.6.1 North America Deep Learning Chipset Production Value Estimates and Forecasts (2019-2030)
5.6.2 Europe Deep Learning Chipset Production Value Estimates and Forecasts (2019-2030)
5.6.3 China Deep Learning Chipset Production Value Estimates and Forecasts (2019-2030)
5.6.4 Australia Deep Learning Chipset Production Value Estimates and Forecasts (2019-2030)
5.6.5 Israel Deep Learning Chipset Production Value Estimates and Forecasts (2019-2030)
6 GLOBAL DEEP LEARNING CHIPSET CONSUMPTION BY REGION
6.1 Global Deep Learning Chipset Consumption Estimates and Forecasts by Region: 2019 VS 2023 VS 2030
6.2 Global Deep Learning Chipset Consumption by Region (2019-2030)
6.2.1 Global Deep Learning Chipset Consumption by Region: 2019-2030
6.2.2 Global Deep Learning Chipset Forecasted Consumption by Region (2025-2030)
6.3 North America
6.3.1 North America Deep Learning Chipset Consumption Growth Rate by Country: 2019 VS 2023 VS 2030
6.3.2 North America Deep Learning Chipset Consumption by Country (2019-2030)
6.3.3 U.S.
6.3.4 Canada
6.4 Europe
6.4.1 Europe Deep Learning Chipset Consumption Growth Rate by Country: 2019 VS 2023 VS 2030
6.4.2 Europe Deep Learning Chipset Consumption by Country (2019-2030)
6.4.3 Germany
6.4.4 France
6.4.5 U.K.
6.4.6 Italy
6.4.7 Russia
6.5 Asia Pacific
6.5.1 Asia Pacific Deep Learning Chipset Consumption Growth Rate by Country: 2019 VS 2023 VS 2030
6.5.2 Asia Pacific Deep Learning Chipset Consumption by Country (2019-2030)
6.5.3 China
6.5.4 Japan
6.5.5 South Korea
6.5.6 China Taiwan
6.5.7 Southeast Asia
6.5.8 India
6.5.9 Australia
6.6 Latin America, Middle East & Africa
6.6.1 Latin America, Middle East & Africa Deep Learning Chipset Consumption Growth Rate by Country: 2019 VS 2023 VS 2030
6.6.2 Latin America, Middle East & Africa Deep Learning Chipset Consumption by Country (2019-2030)
6.6.3 Mexico
6.6.4 Brazil
6.6.5 Turkey
6.6.5 GCC Countries
7 SEGMENT BY TYPE
7.1 Global Deep Learning Chipset Production by Type (2019-2030)
7.1.1 Global Deep Learning Chipset Production by Type (2019-2030) & (K Units)
7.1.2 Global Deep Learning Chipset Production Market Share by Type (2019-2030)
7.2 Global Deep Learning Chipset Production Value by Type (2019-2030)
7.2.1 Global Deep Learning Chipset Production Value by Type (2019-2030) & (US$ Million)
7.2.2 Global Deep Learning Chipset Production Value Market Share by Type (2019-2030)
7.3 Global Deep Learning Chipset Price by Type (2019-2030)
8 SEGMENT BY APPLICATION
8.1 Global Deep Learning Chipset Production by Application (2019-2030)
8.1.1 Global Deep Learning Chipset Production by Application (2019-2030) & (K Units)
8.1.2 Global Deep Learning Chipset Production by Application (2019-2030) & (K Units)
8.2 Global Deep Learning Chipset Production Value by Application (2019-2030)
8.2.1 Global Deep Learning Chipset Production Value by Application (2019-2030) & (US$ Million)
8.2.2 Global Deep Learning Chipset Production Value Market Share by Application (2019-2030)
8.3 Global Deep Learning Chipset Price by Application (2019-2030)
9 VALUE CHAIN AND SALES CHANNELS ANALYSIS OF THE MARKET
9.1 Deep Learning Chipset Value Chain Analysis
9.1.1 Deep Learning Chipset Key Raw Materials
9.1.2 Raw Materials Key Suppliers
9.1.3 Deep Learning Chipset Production Mode & Process
9.2 Deep Learning Chipset Sales Channels Analysis
9.2.1 Direct Comparison with Distribution Share
9.2.2 Deep Learning Chipset Distributors
9.2.3 Deep Learning Chipset Customers
10 GLOBAL DEEP LEARNING CHIPSET ANALYZING MARKET DYNAMICS
10.1 Deep Learning Chipset Industry Trends
10.2 Deep Learning Chipset Industry Drivers
10.3 Deep Learning Chipset Industry Opportunities and Challenges
10.4 Deep Learning Chipset Industry Restraints
11 REPORT CONCLUSION
12 DISCLAIMER
1.1 Scope of Report
1.2 Reasons for Doing This Study
1.3 Research Methodology
1.4 Research Process
1.5 Data Source
1.5.1 Secondary Sources
1.5.2 Primary Sources
2 MARKET OVERVIEW
2.1 Product Definition
2.2 Deep Learning Chipset by Type
2.2.1 Market Value Comparison by Type (2019 VS 2023 VS 2030) & (US$ Million)
1.2.2 Graphics Processing Units (GPUs)
1.2.3 Central Processing Units (CPUs)
1.2.4 Application Specific Integrated Circuits (ASICs)
1.2.5 Field Programmable Gate Arrays (FPGAs)
1.2.6 Others
2.3 Deep Learning Chipset by Application
2.3.1 Market Value Comparison by Application (2019 VS 2023 VS 2030) & (US$ Million)
2.3.2 Consumer
2.3.3 Aerospace, Military & Defense
2.3.4 Automotive
2.3.5 Industrial
2.3.6 Medical
2.3.7 Others
2.4 Global Market Growth Prospects
2.4.1 Global Deep Learning Chipset Production Value Estimates and Forecasts (2019-2030)
2.4.2 Global Deep Learning Chipset Production Capacity Estimates and Forecasts (2019-2030)
2.4.3 Global Deep Learning Chipset Production Estimates and Forecasts (2019-2030)
2.4.4 Global Deep Learning Chipset Market Average Price (2019-2030)
3 MARKET COMPETITIVE LANDSCAPE BY MANUFACTURERS
3.1 Global Deep Learning Chipset Production by Manufacturers (2019-2024)
3.2 Global Deep Learning Chipset Production Value by Manufacturers (2019-2024)
3.3 Global Deep Learning Chipset Average Price by Manufacturers (2019-2024)
3.4 Global Deep Learning Chipset Industry Manufacturers Ranking, 2022 VS 2023 VS 2024
3.5 Global Deep Learning Chipset Key Manufacturers, Manufacturing Sites & Headquarters
3.6 Global Deep Learning Chipset Manufacturers, Product Type & Application
3.7 Global Deep Learning Chipset Manufacturers, Date of Enter into This Industry
3.8 Global Deep Learning Chipset Market CR5 and HHI
3.9 Global Manufacturers Mergers & Acquisition
4 MANUFACTURERS PROFILED
4.1 NVIDIA
4.1.1 NVIDIA Deep Learning Chipset Company Information
4.1.2 NVIDIA Deep Learning Chipset Business Overview
4.1.3 NVIDIA Deep Learning Chipset Production, Value and Gross Margin (2019-2024)
4.1.4 NVIDIA Product Portfolio
4.1.5 NVIDIA Recent Developments
4.2 Intel
4.2.1 Intel Deep Learning Chipset Company Information
4.2.2 Intel Deep Learning Chipset Business Overview
4.2.3 Intel Deep Learning Chipset Production, Value and Gross Margin (2019-2024)
4.2.4 Intel Product Portfolio
4.2.5 Intel Recent Developments
4.3 IBM
4.3.1 IBM Deep Learning Chipset Company Information
4.3.2 IBM Deep Learning Chipset Business Overview
4.3.3 IBM Deep Learning Chipset Production, Value and Gross Margin (2019-2024)
4.3.4 IBM Product Portfolio
4.3.5 IBM Recent Developments
4.4 Qualcomm
4.4.1 Qualcomm Deep Learning Chipset Company Information
4.4.2 Qualcomm Deep Learning Chipset Business Overview
4.4.3 Qualcomm Deep Learning Chipset Production, Value and Gross Margin (2019-2024)
4.4.4 Qualcomm Product Portfolio
4.4.5 Qualcomm Recent Developments
4.5 CEVA
4.5.1 CEVA Deep Learning Chipset Company Information
4.5.2 CEVA Deep Learning Chipset Business Overview
4.5.3 CEVA Deep Learning Chipset Production, Value and Gross Margin (2019-2024)
4.5.4 CEVA Product Portfolio
4.5.5 CEVA Recent Developments
4.6 KnuEdge
4.6.1 KnuEdge Deep Learning Chipset Company Information
4.6.2 KnuEdge Deep Learning Chipset Business Overview
4.6.3 KnuEdge Deep Learning Chipset Production, Value and Gross Margin (2019-2024)
4.6.4 KnuEdge Product Portfolio
4.6.5 KnuEdge Recent Developments
4.7 AMD
4.7.1 AMD Deep Learning Chipset Company Information
4.7.2 AMD Deep Learning Chipset Business Overview
4.7.3 AMD Deep Learning Chipset Production, Value and Gross Margin (2019-2024)
4.7.4 AMD Product Portfolio
4.7.5 AMD Recent Developments
4.8 Xilinx
4.8.1 Xilinx Deep Learning Chipset Company Information
4.8.2 Xilinx Deep Learning Chipset Business Overview
4.8.3 Xilinx Deep Learning Chipset Production, Value and Gross Margin (2019-2024)
4.8.4 Xilinx Product Portfolio
4.8.5 Xilinx Recent Developments
4.9 ARM
4.9.1 ARM Deep Learning Chipset Company Information
4.9.2 ARM Deep Learning Chipset Business Overview
4.9.3 ARM Deep Learning Chipset Production, Value and Gross Margin (2019-2024)
4.9.4 ARM Product Portfolio
4.9.5 ARM Recent Developments
4.10 Google
4.10.1 Google Deep Learning Chipset Company Information
4.10.2 Google Deep Learning Chipset Business Overview
4.10.3 Google Deep Learning Chipset Production, Value and Gross Margin (2019-2024)
4.10.4 Google Product Portfolio
4.10.5 Google Recent Developments
7.11 Graphcore
7.11.1 Graphcore Deep Learning Chipset Company Information
7.11.2 Graphcore Deep Learning Chipset Business Overview
4.11.3 Graphcore Deep Learning Chipset Production, Value and Gross Margin (2019-2024)
7.11.4 Graphcore Product Portfolio
7.11.5 Graphcore Recent Developments
7.12 TeraDeep
7.12.1 TeraDeep Deep Learning Chipset Company Information
7.12.2 TeraDeep Deep Learning Chipset Business Overview
7.12.3 TeraDeep Deep Learning Chipset Production, Value and Gross Margin (2019-2024)
7.12.4 TeraDeep Product Portfolio
7.12.5 TeraDeep Recent Developments
7.13 Wave Computing
7.13.1 Wave Computing Deep Learning Chipset Company Information
7.13.2 Wave Computing Deep Learning Chipset Business Overview
7.13.3 Wave Computing Deep Learning Chipset Production, Value and Gross Margin (2019-2024)
7.13.4 Wave Computing Product Portfolio
7.13.5 Wave Computing Recent Developments
7.14 BrainChip
7.14.1 BrainChip Deep Learning Chipset Company Information
7.14.2 BrainChip Deep Learning Chipset Business Overview
7.14.3 BrainChip Deep Learning Chipset Production, Value and Gross Margin (2019-2024)
7.14.4 BrainChip Product Portfolio
7.14.5 BrainChip Recent Developments
5 GLOBAL DEEP LEARNING CHIPSET PRODUCTION BY REGION
5.1 Global Deep Learning Chipset Production Estimates and Forecasts by Region: 2019 VS 2023 VS 2030
5.2 Global Deep Learning Chipset Production by Region: 2019-2030
5.2.1 Global Deep Learning Chipset Production by Region: 2019-2024
5.2.2 Global Deep Learning Chipset Production Forecast by Region (2025-2030)
5.3 Global Deep Learning Chipset Production Value Estimates and Forecasts by Region: 2019 VS 2023 VS 2030
5.4 Global Deep Learning Chipset Production Value by Region: 2019-2030
5.4.1 Global Deep Learning Chipset Production Value by Region: 2019-2024
5.4.2 Global Deep Learning Chipset Production Value Forecast by Region (2025-2030)
5.5 Global Deep Learning Chipset Market Price Analysis by Region (2019-2024)
5.6 Global Deep Learning Chipset Production and Value, YOY Growth
5.6.1 North America Deep Learning Chipset Production Value Estimates and Forecasts (2019-2030)
5.6.2 Europe Deep Learning Chipset Production Value Estimates and Forecasts (2019-2030)
5.6.3 China Deep Learning Chipset Production Value Estimates and Forecasts (2019-2030)
5.6.4 Australia Deep Learning Chipset Production Value Estimates and Forecasts (2019-2030)
5.6.5 Israel Deep Learning Chipset Production Value Estimates and Forecasts (2019-2030)
6 GLOBAL DEEP LEARNING CHIPSET CONSUMPTION BY REGION
6.1 Global Deep Learning Chipset Consumption Estimates and Forecasts by Region: 2019 VS 2023 VS 2030
6.2 Global Deep Learning Chipset Consumption by Region (2019-2030)
6.2.1 Global Deep Learning Chipset Consumption by Region: 2019-2030
6.2.2 Global Deep Learning Chipset Forecasted Consumption by Region (2025-2030)
6.3 North America
6.3.1 North America Deep Learning Chipset Consumption Growth Rate by Country: 2019 VS 2023 VS 2030
6.3.2 North America Deep Learning Chipset Consumption by Country (2019-2030)
6.3.3 U.S.
6.3.4 Canada
6.4 Europe
6.4.1 Europe Deep Learning Chipset Consumption Growth Rate by Country: 2019 VS 2023 VS 2030
6.4.2 Europe Deep Learning Chipset Consumption by Country (2019-2030)
6.4.3 Germany
6.4.4 France
6.4.5 U.K.
6.4.6 Italy
6.4.7 Russia
6.5 Asia Pacific
6.5.1 Asia Pacific Deep Learning Chipset Consumption Growth Rate by Country: 2019 VS 2023 VS 2030
6.5.2 Asia Pacific Deep Learning Chipset Consumption by Country (2019-2030)
6.5.3 China
6.5.4 Japan
6.5.5 South Korea
6.5.6 China Taiwan
6.5.7 Southeast Asia
6.5.8 India
6.5.9 Australia
6.6 Latin America, Middle East & Africa
6.6.1 Latin America, Middle East & Africa Deep Learning Chipset Consumption Growth Rate by Country: 2019 VS 2023 VS 2030
6.6.2 Latin America, Middle East & Africa Deep Learning Chipset Consumption by Country (2019-2030)
6.6.3 Mexico
6.6.4 Brazil
6.6.5 Turkey
6.6.5 GCC Countries
7 SEGMENT BY TYPE
7.1 Global Deep Learning Chipset Production by Type (2019-2030)
7.1.1 Global Deep Learning Chipset Production by Type (2019-2030) & (K Units)
7.1.2 Global Deep Learning Chipset Production Market Share by Type (2019-2030)
7.2 Global Deep Learning Chipset Production Value by Type (2019-2030)
7.2.1 Global Deep Learning Chipset Production Value by Type (2019-2030) & (US$ Million)
7.2.2 Global Deep Learning Chipset Production Value Market Share by Type (2019-2030)
7.3 Global Deep Learning Chipset Price by Type (2019-2030)
8 SEGMENT BY APPLICATION
8.1 Global Deep Learning Chipset Production by Application (2019-2030)
8.1.1 Global Deep Learning Chipset Production by Application (2019-2030) & (K Units)
8.1.2 Global Deep Learning Chipset Production by Application (2019-2030) & (K Units)
8.2 Global Deep Learning Chipset Production Value by Application (2019-2030)
8.2.1 Global Deep Learning Chipset Production Value by Application (2019-2030) & (US$ Million)
8.2.2 Global Deep Learning Chipset Production Value Market Share by Application (2019-2030)
8.3 Global Deep Learning Chipset Price by Application (2019-2030)
9 VALUE CHAIN AND SALES CHANNELS ANALYSIS OF THE MARKET
9.1 Deep Learning Chipset Value Chain Analysis
9.1.1 Deep Learning Chipset Key Raw Materials
9.1.2 Raw Materials Key Suppliers
9.1.3 Deep Learning Chipset Production Mode & Process
9.2 Deep Learning Chipset Sales Channels Analysis
9.2.1 Direct Comparison with Distribution Share
9.2.2 Deep Learning Chipset Distributors
9.2.3 Deep Learning Chipset Customers
10 GLOBAL DEEP LEARNING CHIPSET ANALYZING MARKET DYNAMICS
10.1 Deep Learning Chipset Industry Trends
10.2 Deep Learning Chipset Industry Drivers
10.3 Deep Learning Chipset Industry Opportunities and Challenges
10.4 Deep Learning Chipset Industry Restraints
11 REPORT CONCLUSION
12 DISCLAIMER
